Fastino Releases GLiNER2.5: A Boundary-Prediction Architecture That Removes Span Enumeration From Information Extraction
MarkTechPost 1 month ago 34
Fastino released GLiNER2.5, which replaces span enumeration with a boundary-prediction architecture for information extraction. It supports 4,096-word context windows and reports 56.17 overall macro F1 on 16 multilingual zero-shot benchmarks. The shift enables longer entities, removes the width ceiling, and adds joint entity-relation decoding with constrained labels and span attributes, while releasing 74M/194M/287M-parameter checkpoints on Hugging Face for self-hosted CPU/CUDA/MPS inference.